Multi-level NER for Portuguese in a CG framework

Authors:
Eckhard Bick
Affiliations:
Institute of Language and Communication, Southern Denmark University
Venue:
PROPOR'03 Proceedings of the 6th international conference on Computational processing of the Portuguese language
Year:
2003

Citing 3
Cited 5

Using corpus-derived name lists for named entity recognition

ANLC '00 Proceedings of the sixth conference on Applied natural language processing
A statistical profile of the Named Entity task

ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Nymble: a high-performance learning name-finder

ANLC '97 Proceedings of the fifth conference on Applied natural language processing

Semantic tagging for resolution of indirect anaphora

SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
A golden resource for named entity recognition in portuguese

PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
Functional aspects in portuguese NER

PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
Searching the annotated Portuguese childes corpora

Proceedings of the Workshop on Computational Models of Language Acquisition and Loss
I say have you say tem: profiling verbs in children data in English and Portuguese

Proceedings of the Workshop on Computational Models of Language Acquisition and Loss

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes and evaluates a linguistically based NER system for Portuguese, based on lexico-semantical information, pattern matching and morphosyntactic, context driven Constraint Grammar rules. Preliminary Fscores for cross-domain news texts, when distinguishing six different name types, were 91.85 (raw) and 93.6 (subtyping of ready-chunked proper nouns).